Describe a hire, a speaker, an expert, or an investor. PeopleCite sends parallel research agents across the live web and returns a scored, source-cited slate you can review and export — in about 15 minutes.
$0 today · 100 credits · cancel anytime — we email you before billing.
Staff backend engineers who have scaled payments at Series B–C startups
Run complete· 6/6 researchers214 sources
Run complete· ~12 min214 sources read
Brief
Staff-level backend engineers with hands-on payments scaling work at Series B–C startups — evidence from talks, code, and engineering blogs. US-based.
6 researchers working in parallel
Payments teams at Series B–C fintechs41
Speakers at payments & infra conferences33
Open-source ledger and billing tooling38
Engineering blogs on payment scaling45
Recent Series B–C raises → eng teams29
Podcasts & talks on payment reliability28
Reading: open-source ledger maintainers on GitHub
Searching: Series B fintech "payments platform" team
Cross-checking: conference bio against company eng blog
Verifying: US location from talks and public bios
Candidates5
1
Maya R.
9.2US verified
Staff Engineer, Payments Platform · Series C fintech
Why they fit
Led the ledger rewrite that took card volume from 2M to 80M transactions a month through a Series B, and spoke about the migration at QCon 2025. Exactly the scaled-payments-through-hypergrowth profile in the brief.
Verification
2025 conference bio and talk place her in Austin, TX; the company engineering blog confirms the payments-platform role.
Talk covered in a payments-engineering newsletter, Jan 2026.
Ggithub.com
Llinkedin.com
Iinfoq.com
Yyoutube.com
2
Daniel K.
8.8US verified
Payments Infrastructure Lead · Series B commerce startup
3
Priya S.
8.5US likely
Senior Staff Engineer, Billing & Ledger
4
Tomás A.
8.1US verified
Staff SWE, Payment Risk & Auth
5
Jordan W.
7.6Location unverified
Backend Engineer, Ledger Systems
Run complete · 5 candidates · 214 sources · ~12 min · ready to export
Sample replay with anonymized data. A real run streams live like this and takes 5–20 minutes.
How it works
Brief it, watch it, review the slate.
01
Staff backend engineers who have scaled payments at Series B–C startups
Describe them like you'd brief a colleague.
No boolean strings, no filters. Describe the people — role, field, constraints, dealbreakers.
02
Payments teams at Series B–C fintechs41
Speakers at payments & infra conferences33
Open-source ledger and billing tooling38
Watch the research happen.
A supervisor agent fans out parallel researchers across the live web. You see every step: what's searched, what's read, who's considered.
03
1Maya R.9.2Export .xlsx
Review a slate with receipts.
Every person arrives scored and ranked, with a written rationale, verification status, and sources. Export to Excel or CSV in one click.
A typical run takes 5–20 minutes. Closing the tab does not stop it.
Receipts
Not a mystery score. Receipts.
Databases give you a list. PeopleCite gives you an argument: why this person fits, how we verified them, where they’ve been covered — with links you can check yourself.
And if we can’t verify someone, we flag them instead of guessing.
1
Maya R.
9.2US verified
Staff Engineer, Payments Platform · Series C fintech
Why they fit
Led the ledger rewrite that took card volume from 2M to 80M transactions a month through a Series B, and spoke about the migration at QCon 2025. Exactly the scaled-payments-through-hypergrowth profile in the brief.
Verification
2025 conference bio and talk place her in Austin, TX; the company engineering blog confirms the payments-platform role.
Talk covered in a payments-engineering newsletter, Jan 2026.
Ggithub.com
Llinkedin.com
Iinfoq.com
Yyoutube.com
Fresh, not stale
Researched the moment you ask.
Databases go stale the day they’re built, and everyone searches the same one. PeopleCite researches the open web at the moment you ask — the person who published last week is already in your slate.
Who it's for
For people whose job is finding people.
Recruiters & sourcers
“Staff payments engineers, Series B–C experience”
A ranked slate with evidence — not 400 keyword matches.
VCs & BD
“Technical founders building in industrial automation”
Coverage of people who aren't on anyone's list yet.
Events, media & research
“Climate scientists who can hold a stage”
Speakers and sources with their press footprint attached.
It keeps working
Your search keeps running after you close the tab.
Monitors
Max
Standing searches re-run on a schedule and surface new people.
CSV enrichment
Ultra Max
Bring your own list and enrich it with verified evidence — CSV in, receipts out.
API + MCP
Ultra Max
Put PeopleCite inside your own tools and agents. Works with Claude, ChatGPT, Cursor.
Works with your AI tools via MCP: Claude · ChatGPT · Cursor
Pricing
Simple, transparent pricing
A credit is one candidate researched. Fast depth: 1 credit. Smart: 5. Deep: 12. A typical 10-person Smart search costs 50 credits — you pay per candidate researched, not per seat.
Pro
$49/mo
Billed monthly
Solo operator: founder sourcing hires, indie recruiter, journalist
500 credits / month
~10 ten-person Smart searches a month
Fast + Smart depth
Up to 50 people per run
1 search at a time
1 seat
Export to Excel or CSV — never gated
$0 today · cancel anytime · reminder email before billing
Max
Most popular
$149/mo
Billed monthly
Full-time sourcer, recruiter, or VC doing this daily
1,750 credits / month
~35 ten-person Smart searches a month, or ~14 at Deep
Fast + Smart + Deep depth
Up to 150 people per run
3 searches at once
5 monitored searches
Deep Search — priority research queue
1 seat
Export to Excel or CSV — never gated
$0 today · cancel anytime · reminder email before billing
Ultra Max
$399/mo
Billed monthly
Teams, agencies, and builders (API)
5,500 credits / month
~110 ten-person Smart searches a month, across 3 seats
Fast + Smart + Deep depth
Up to 150 people per run
10 searches at once
25 monitored searches
Deep Search — priority research queue
3 seats included · +$99/seat
CSV enrichment
API + MCP
Export to Excel or CSV — never gated
$0 today · cancel anytime · reminder email before billing
The 14-day trial is $0 today with 100 credits, Fast + Smart depth, and up to 25 people per run — card required, cancel in one click, and we email you before billing starts. Trial exports are marked as research leads.
Overage: $30 per 250 credits.
You stay in control of candidate data — export it, delete it, and see every source it came from.
The open web, researched live per question — public profiles, publications, press, talks. Every candidate links its sources.
02
How accurate is it?
Every claim is cited so you can check it yourself. Candidates we can't verify are flagged, not silently included. Ranking is based on fit against your criteria, with a written rationale per person.
03
Why do you need a card for the trial?
It keeps the research queue for people who mean it. You pay $0 today, we email you before billing starts, and cancellation is one click.
04
What's a credit?
One candidate researched at standard depth. Deeper modes cost more per candidate: Fast is 1 credit, Smart is 5, Deep is 12. A 10-person Smart search is 50 credits.
05
How is this different from LinkedIn Recruiter, Apollo, or Clay?
They search a database; we research your question. Database tools return whoever matched keywords when the profile was last indexed — the same pool everyone else is searching. PeopleCite reads the live web per request, ranks people against your actual criteria, and shows the sources, so you review evidence instead of guessing from titles.
06
Is this GDPR / CCPA compliant?
We process only public data, we don't sell it, and you can export or delete candidate data at any time. See the privacy policy and DPA.
07
Can I cancel anytime?
Yes — self-serve, from settings, in one click. That includes during the trial, before any billing happens.
Describe the people. Review the evidence. Export the slate.
$0 today · 100 credits · cancel anytime — we email you before billing.